Table 2.
Average Pearson correlation coefficient of five traits from cross-validation.
| Yield | Protein | Oil | Moisture | Height | |
|---|---|---|---|---|---|
| dualCNN (imp/non-imp) | 0.434/0.452 | 0.402/0.619 | 0.412/0.668 | 0.426/0.463 | 0.465/0.615 |
| DeepGS (imp/non-imp) | 0.347/0.391 | 0.231/0.506 | 0.344/0.531 | 0.024/0.310 | 0.357/0.452 |
| Dense (imp/non-imp) | 0.359/0.449 | 0.357/0.603 | 0.401/0.657 | 0.370/0.427 | 0.434/0.612 |
| singleCNN (imp/non-imp) | 0.422/0.463 | 0.380/0.573 | 0.392/0.627 | 0.370/0.449 | 0.442/0.565 |
| rrBLUP | 0.412 | 0.392 | 0.39 | 0.413 | 0.458 |
| BRR | 0.422 | 0.392 | 0.39 | 0.413 | 0.458 |
| Bayes A | 0.419 | 0.393 | 0.388 | 0.415 | 0.458 |
| Bayesian LASSO | 0.419 | 0.394 | 0.388 | 0.416 | 0.458 |
CNN, convolutional neural network; BRR, Bayesian ridge regression.